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AI
1999
Springer
15 years 6 months ago
Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning a
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
Minoru Asada, Eiji Uchibe, Koh Hosoda
CCIA
2006
Springer
15 years 10 months ago
Improving the Team-work in Heterogeneous Multi-agent Systems: Situation Matching Approach
: This paper presents a method called "Situation Matching" that aids to improve cooperative tasks in heterogeneous multi-agent systems. The situation matching (SM) above ...
Salvador Ibarra, Christian G. Quintero, Díd...
DAM
2008
69views more  DAM 2008»
15 years 6 months ago
Impact of memory size on graph exploration capability
A mobile agent (robot), modeled as a finite automaton, has to visit all nodes of a regular graph. How does the memory size of the agent (the number of states of the automaton) inf...
Pierre Fraigniaud, David Ilcinkas, Andrzej Pelc
AI
2011
Springer
15 years 1 months ago
Bounded approximate decentralised coordination via the max-sum algorithm
In this paper we propose a novel approach to decentralised coordination, that is able to efficiently compute solutions with a guaranteed approximation ratio. Our approach is base...
Alex Rogers, Alessandro Farinelli, Ruben Stranders...
CDC
2010
IEEE
15 years 1 months ago
A Switching strategy for robust cooperative exploration
Abstract-- This paper develops a switching strategy for networked mobile sensing agents to automatically decide when to perform individual exploration and when to perform cooperati...
Wencen Wu, Fumin Zhang